State quantized feedback control of continuous-time multi-agent system
Fang Wang, Bing Chen, Yumei Sun, Honghong Wang · 2016
In this article, the quantized consensus control of continuous-time multi-agent systems is discussed. The protocol design takes fully into account the state quantization feedback of the neighbor agents in transmission over a limited-communication channel. A fixed quantization level is firstly considered, at this stage, by constructing distributed input quantized protocol and designing two nested invariant regions, all states of the multi-agent system starting in the bigger region approach the smaller one. To guarantee further convergence, then the dynamic state quantization is considered. By dynamically adjusting quantization levels of the quantizer in real time, the sizes of the nested invariant regions gradually become smaller. In this case, a hybrid quantized control scheme is developed. It turned out that for a connected network, the multi-agent system achieves the quantized consensus asymptotically under the constructed controllers.